Saudi Cultural Missions Theses & Dissertations
Permanent URI for this communityhttps://drepo.sdl.edu.sa/handle/20.500.14154/10
Browse
2 results
Search Results
Item Restricted The impact of nurse staffing level on patient outcomes in critical care setting(Saudi Digital Library, 2023-11-23) Alrashedi, Hadeel; Zolfaghari, ParjamBackground:The care of very ill patients, who typically have illnesses that are life-threatening, is provided in a high-tech setting that requires substantial staffing and competency levels in intensive care units. Aims of study: To assess The impact of nurse staffing level on patient outcomes in critical care setting. Materials and method: A cross-sectional study was conducted by Standards for nurse staff in intensive care units inThe British Association of Nurses in CC (BANCC) (2001), Royal College of Nursing (2003, 2005), and other CC nursing professional organisations in the United Kingdom (UK) have previously created guidance for nurse staffing in CC to help nurses make well-informed choices about staffing CCUs. Results: The CC family requirements portfolio was largely used to explore family needs, and it shows that information and assurance, after that closeness, relaxation, and support, are the two most urgent requirements that families have. Families seek accurate information on their relative's growth that is presented every day in clear terms, without giving rise to unfounded optimism . Additionally, they want to be informed immediately if their relative's clinical status changes and want reassurance that they are getting the finest care possible at all times. Conclusion : overall , ICU cares for patients who may be able to recover and who can advantage from closer monitoring and invasive procedures than can be safely offered on regular wards or high-dependence sections. Patients needing unconventional respiratory support solely or support for two or more deteriorating organ systems should be placed in an ICU. ICU facilities are available for various organ dysfunction diagnoses, prophylaxis, and therapy.26 0Item Restricted Who Will Succeed in Dental School? Predictors of dental school performance(2023-06-05) Alsharafi, Eman Mohammed A; Hallam, Jennifer; Manogue, Michael; Nicholls, GailBackground: Selection of students with the highest potential of success is a very challenging process because selection is carried out among a highly academically qualified pool of applicants exceeding the number of places available. Additionally, evidence about the incremental and predictive validity of admission assessments and personal attributes assessed at admission is limited. Objectives: To address this, a systematic review for evidence of the predictive validity of selection methods was completed, the incremental and predictive validity of admission assessments and whether any of the assessments are biased towards or against certain individuals were then investigated. Methods: This was a retrospective cohort study using data of four cohorts at the University of Leeds, School of Dentistry. Data analysis included univariate and multivariate analysis. Outcome measures included academic and clinical performance. Predictor measures included personal statement, BMAT and MMI scores in addition to the socio-demographic characteristics of participants. Results: Hierarchical regression models revealed that BMAT was the only admission assessment that contributed significantly in increasing the variance. Sections 3 and 2 were the most predictive. Additionally, MMI and BMAT significantly predicted on course 3rd to 5th year clinical practice and 2nd to 3rd year academic scores. Empathy, communication, insight and presentation stations were the most predictive of students’ performance. None of the admission assessments showed evidence of bias against gender, widening participation or ethnic groups. Conclusion: The findings demonstrated evidence of incremental and predictive validity of BMAT as an admission test. They also revealed the necessity to re-evaluate the MMI structure, particularly the skills assessed and the tasks used to assess them, to improve its validity. The research has also highlighted the need to identify and provide appropriate support to individuals at greater risk of low performance and the necessity for adequate admissions data management at the University to facilitate future studies.30 0